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EW DATA ANALYTICS

 

                                 The ultimate Data Scientist tool
                                  to work efficiently with Big Data
                                  in Hadoop ecosystem

Comfortable Environment
For Data Analysis

 

No more analytics vs. development. 
 


Your Data Scientists can do computing on a Hadoop cluster on their local machine – fast end easy.

The familiar Python and Jupiter Notebook for data analysis and model designing.
Python models automatically transform into industrial code
running on a cluster. 

Launching production analytic models without Data Analytics

Loss of data

Data Scientists cannot directly access data on a Hadoop cluster – they don’t understand how data is stored,
and they don’t know about the types of data available
 
Loss of accuracy

To put an analytical model in commercial operation, you need to convert it from Python to Java/Scala. This affects the accuracy of the algorithms. The actual KPIs of a production model on a Hadoop cluster will be significantly lower than the KPIs of algorithms created in Python on a local machine.
Schedule overrun

Many iterations to adjust the required precision of the industrial model.
Tensions between data scientists and data engineers as they use different technology stacks.
 

Data Analytics Makes Work With Industrial Models Easy!

  • Import and Export
  • Analytics and Modeling
  • Monitoring
  • Reporting
Squeeze the maximum out of data – any data

Manage the inbound data streams of your cluster
Aggregate data from various sources
Customize the import schedule in a few clicks
Easy to integrate with existing systems in the company
Export model results to
any external applications
 

Analytics UI


Create, save and edit projects. Separate sample data for machine learning and model control.
Use SQL queries to calculate parameters.  Put models in production directly from the analytics UI.

                                Data
                                Import UI



                                                                                                              Support SQL queries to import data
                                                                                                              from databases into Hadoop.
                                                                                                              Manage DBMS connections.
                                                                                                              Start or restart import and processing.
                                                                                                              Preview the import result to avoid errors.
 

Data Export UI

 


Export data to external databases or files

Use data encryption

Preview the export result to avoid errors
 

                              Model
                              Performance
                              Monitoring

 

                                                                                                       
                                                                                                        
                                                                                                       Visual history of launches
                                                                                                       
                                                                                                       Notification of errors in model operation
                                                                                                       
                                                                                                       Tracking related calculations
 

Monitoring
Key Metrics
of Models

 




Dashboards with current metric values

Color indication of metric deviations

Interactive retrospective graphics for each metric

One click to start model tuning

 

Improve Efficiency of Your Team


  • Implement big data analytics painlessly
    Integrate with any analytical systems
    Improve awareness about the work of your employees
    Optimize your resources and focus your efforts
     

Easy to deploy Big Data and
Machine Learning into business processes

New insights
in 1-2 weeks
Instead of 1.5-2 months
Efficient employment
of staff 1 = 3
A Data Scientist is enough to analyze big data
Easy
to scale
Training a Data Scientist is easier than learning the entire Hadoop ecosystem. The basic course lasts 20 hours.

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